{"id":"W2164920103","doi":"10.1002/cncr.24085","title":"Breast biopsy patterns and outcomes in Surveillance, Epidemiology, and End Results—Medicare data","year":2009,"lang":"en","type":"article","venue":"Cancer","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"National Institute of Nursing Research; National Cancer Institute","keywords":"Medicine; Biopsy; Breast cancer; Breast biopsy; Odds ratio; Logistic regression; Radiology; Ductal carcinoma; Cancer; Confidence interval; Epidemiology; Surgery; Mammography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002944152,0.0002162968,0.0003769238,0.002114434,0.0001880031,0.0005242444,0.0004445022,0.0003354452,0.0008936857],"category_scores_gemma":[0.01278962,0.0001596235,0.0004466033,0.00353443,0.000180783,0.0004434627,0.000536071,0.0003477625,0.0001590835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501023,"about_ca_system_score_gemma":0.0005515332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752705,"about_ca_topic_score_gemma":0.01781855,"domain_scores_codex":[0.9969015,0.00134177,0.0004521695,0.000361177,0.0006794151,0.0002640232],"domain_scores_gemma":[0.982742,0.003679763,0.0112834,0.0007025201,0.0009629728,0.0006293267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003749414,0.000009475873,0.9985043,0.00001304868,0.00005938364,0.00001576774,0.00002144411,0.0001248162,0.00002457006,0.00002413301,0.0003336591,0.000831986],"study_design_scores_gemma":[0.000006576976,0.00001907417,0.9988438,0.00001403915,0.00002207713,0.00008714353,0.00004229902,0.0005722706,0.00004248187,0.00003179716,0.0003160303,0.000002505122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804468,0.0008592552,0.0005211708,0.000356808,0.00001056711,0.00003128545,0.01697723,0.00002415964,0.0007727355],"genre_scores_gemma":[0.9849539,0.0002218794,0.0005779825,0.00008400133,0.00002089398,0.00004883888,0.01398679,0.00000602558,0.00009967684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01752705,"threshold_uncertainty_score":0.03485006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521137731532469,"score_gpt":0.3485165246246653,"score_spread":0.2964027514714184,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}